Intelligent Sensors for Condition Monitoring, Diagnosis, and Prognostics
This Reprint focuses on the advancements and applications of intelligent sensors for condition monitoring, diagnosis, and prognostics. The original research papers that showcase the latest sensor technologies and intelligent algorithms aimed at enhancing real-time monitoring, precise diagnostics, an...
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| Formato: | Online |
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| Idioma: | inglês |
| Publicado em: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Assuntos: | |
| Acesso em linha: | ONIX_20260416T142754_9783725859238_24 |
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| _version_ | 1869520730253688832 |
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| collection | Directory of Open Access Books |
| description | This Reprint focuses on the advancements and applications of intelligent sensors for condition monitoring, diagnosis, and prognostics. The original research papers that showcase the latest sensor technologies and intelligent algorithms aimed at enhancing real-time monitoring, precise diagnostics, and accurate prognosis of machine health. Contributions focus on the exploration of the integration of advanced analytics, including AI and ML, with intelligent sensors to improve the accuracy and speed of data processing and decision making. We are particularly interested in papers that demonstrate how intelligent sensors enable real-time decision making and improve operational policies. Research addressing both electro-mechanical systems (e.g., rotational machinery) and emerging systems (e.g., renewable energy) is encouraged. Moreover, papers that showcase the application of intelligent sensors in diverse industries and contexts, including but not limited to manufacturing, transportation, healthcare, and environmental monitoring, are also encouraged. Overall, we bring together a collection of high-quality research papers that exhibit the latest advancements and applications of intelligent sensors in condition monitoring, diagnosis, and prognostics, and their potential to revolutionize various industries and improve our daily lives. |
| format | Online |
| id | doab-20.500.12854ir-175019 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1750192026-04-16T18:20:51Z Intelligent Sensors for Condition Monitoring, Diagnosis, and Prognostics Gao, Tianyu Chen, Yinsheng Wang, Jianyu Zhao, Xiaoli Intelligent sensors Measurement Condition monitoring Anomaly detection Fault diagnosis Prognostics Machine learning Deep learning Signal processing thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general This Reprint focuses on the advancements and applications of intelligent sensors for condition monitoring, diagnosis, and prognostics. The original research papers that showcase the latest sensor technologies and intelligent algorithms aimed at enhancing real-time monitoring, precise diagnostics, and accurate prognosis of machine health. Contributions focus on the exploration of the integration of advanced analytics, including AI and ML, with intelligent sensors to improve the accuracy and speed of data processing and decision making. We are particularly interested in papers that demonstrate how intelligent sensors enable real-time decision making and improve operational policies. Research addressing both electro-mechanical systems (e.g., rotational machinery) and emerging systems (e.g., renewable energy) is encouraged. Moreover, papers that showcase the application of intelligent sensors in diverse industries and contexts, including but not limited to manufacturing, transportation, healthcare, and environmental monitoring, are also encouraged. Overall, we bring together a collection of high-quality research papers that exhibit the latest advancements and applications of intelligent sensors in condition monitoring, diagnosis, and prognostics, and their potential to revolutionize various industries and improve our daily lives. 2026-04-16T18:20:45Z 2026-04-16T18:20:45Z 2025 book ONIX_20260416T142754_9783725859238_24 9783725859238 9783725859245 https://directory.doabooks.org/handle/20.500.12854/175019 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/11919 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-5924-5 10.3390/books978-3-7258-5924-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725859238 9783725859245 388 CH open access |
| spellingShingle | Intelligent sensors Measurement Condition monitoring Anomaly detection Fault diagnosis Prognostics Machine learning Deep learning Signal processing thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general Intelligent Sensors for Condition Monitoring, Diagnosis, and Prognostics |
| title | Intelligent Sensors for Condition Monitoring, Diagnosis, and Prognostics |
| title_full | Intelligent Sensors for Condition Monitoring, Diagnosis, and Prognostics |
| title_fullStr | Intelligent Sensors for Condition Monitoring, Diagnosis, and Prognostics |
| title_full_unstemmed | Intelligent Sensors for Condition Monitoring, Diagnosis, and Prognostics |
| title_short | Intelligent Sensors for Condition Monitoring, Diagnosis, and Prognostics |
| title_sort | intelligent sensors for condition monitoring diagnosis and prognostics |
| topic | Intelligent sensors Measurement Condition monitoring Anomaly detection Fault diagnosis Prognostics Machine learning Deep learning Signal processing thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| topic_facet | Intelligent sensors Measurement Condition monitoring Anomaly detection Fault diagnosis Prognostics Machine learning Deep learning Signal processing thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| url | ONIX_20260416T142754_9783725859238_24 |